Global landslide susceptibility prediction based on the automated machine learning (AutoML) framework

Landslide susceptibility modelling using hybrid bivariate statistical-based machine-learning method in a highland segment of Southern Western Ghats, India

(2022) A. L. Achu et al.   Environmental Earth Sciences

Global Landslide Forecasting System for Hazard Assessment and Situational Awareness

(2022) Sana Khan et al.   Frontiers in Earth Science

AReGeoDatHa: Apulian Regional GeoDatabase for geo-hydrological Hazards

(2022) Carmela Vennari et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data

(2022) Ashokan Laila Achu et al.   Earth Science Informatics

Preliminary analysis of a catastrophic landslide event on 6 August 2020 at Pettimudi, Kerala State, India

(2021) A. L. Achu et al.   Landslides

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

(2021) Lucas Zimmer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Data-Driven Landslide Nowcasting at the Global Scale

(2021) Thomas A. Stanley et al.   Frontiers in Earth Science

The GEM Global Active Faults Database

(2020) Richard Styron et al.   EARTHQUAKE SPECTRA

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)

(2019) Caroline S. Juang et al.   PLoS One

Landslide susceptibility hazard map in southwest Sweden using artificial neural network

(2019) Abbas Abbaszadeh Shahri et al.   CATENA

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

(2017) Stephen E. Fick et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

New Zealand’s National Landslide Database

(2017) Brenda Rosser et al.   Landslides

A heuristic approach to global landslide susceptibility mapping

(2017) Thomas Stanley et al.   NATURAL HAZARDS

Mapping landslide susceptibility using data-driven methods

(2017) J.L. Zêzere et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size

(2016) Paraskevas Tsangaratos et al.   CATENA

A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)

(2016) Arzu Erener et al.   ENGINEERING GEOLOGY

Landslide susceptibility mapping at Gongliu county, China using artificial neural network and weight of evidence models

(2016) Qiqing Wang et al.   GEOSCIENCES JOURNAL

Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset

(2013) I. Harris et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

The new global lithological map database GLiM: A representation of rock properties at the Earth surface

(2012) Jens Hartmann et al.   GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS

Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan—by integration of GPS, GIS, and remote sensing technology

(2011) Tahir Ali Akbar et al.   Landslides

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

(2009) Biswajeet Pradhan et al.   ENVIRONMENTAL MODELLING & SOFTWARE